What the data for this category looks like
Water treatment financial report analysis data primarily comes from publicly disclosed periodic reports of listed companies, operational statistics released by industry associations, and project bidding announcement information. The update rhythm falls into three categories: periodic financial reports are updated quarterly and annually, operational data is updated monthly, and bidding information is updated in real time. Single documents are usually dozens of pages long, including consolidated financial statements and business segment reports. Core fields include project treatment scale, chemical unit consumption, contract amount, etc., with corresponding units of ten thousand tons per day, kilograms per ten thousand tons of water treated, and ten thousand yuan respectively.
Constraints Imposed on Knowledge Base Retrieval and Recall by These Characteristics
The characteristics of water treatment financial report data—multiple sources, long documents, and specific field units—create multiple constraints for retrieval and recall. Long documents contain a large number of professional parameters tied to business scenarios. When splitting documents, complete parameter combinations must be retained to avoid semantic loss caused by incorrect splitting. Differences in update frequencies across multiple data sources require configuring different synchronization strategies, distinguishing full updates and incremental updates to balance resource usage and timeliness. Units of specific fields must be used as a dimension for retrieval matching to avoid confusing recall results for different parameters. Additionally, parameters should be prioritized and associated with their corresponding business scenarios to improve matching accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk Length | 800–1200 characters | Water treatment financial report documents contain long sentences of professional parameter combinations. This length retains complete parameters and context, avoiding truncation of critical business information |
Recall Count | Top 10 results | Professional parameters in water treatment financial reports are distributed dispersedly. A larger number of recall results can cover matching needs across different business scenarios |
Similarity Threshold | 0.72–0.78 | A distinction must be made between precise matching of professional parameters and generalized semantic matching. This interval filters low-relevance results while retaining highly matched financial and operational data |
Incremental Update Interval | Once daily | Water treatment operational data is updated monthly, and bidding information is updated in real time. Daily incremental updates synchronize the latest data while reducing resource consumption from full updates |
Reranked Return Count | Top 3 results | Prioritize displaying the most matched core financial report content to avoid excessive results interfering with the retrieval experience |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single water treatment financial report documents have a large number of pages and require longer parsing time. This duration ensures complete parsing of all content and avoids parsing timeout failures |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: When initiating a knowledge-based question and answer, the interface prompts "No knowledge base selected". Cause: The water treatment financial report-specific knowledge base is not bound in the FastGPT application configuration, or the bound knowledge base does not have retrieval permissions enabled, causing the system to fail to locate the retrieval data source.
- Phenomenon: New folders in the knowledge base "New/Import" menu cannot be used for document categorization. Cause: Imported documents are not dragged to the corresponding folder, or the folder does not have retrieval visibility permissions configured, causing the retrieval system to fail to read financial and operational documents in that folder.
- Phenomenon: Retrieval results only return explicitly matched knowledge base content, generalized reasoning is not triggered, and algorithm information used for full-text retrieval cannot be obtained. Cause: The application's "Call model reasoning when no matching content is found" configuration item is not enabled, or this switch is disabled by default in the recently updated retrieval matching mechanism; at the same time, the view permission for algorithm parameters is not enabled in the knowledge base settings.
How to Confirm Proper Configuration
- Access the FastGPT knowledge base management page, verify that imported water treatment financial report documents are sorted into corresponding folders based on business type or update cycle, and confirm that folder permission settings are correct.
- Initiate a test retrieval targeting water treatment financial report parameters, check whether the number and similarity of returned results match the preset configuration, and adjust relevant parameters to meet matching requirements.
- View the knowledge base synchronization logs to confirm that incremental update and full update tasks are executed normally at the configured intervals, with no parsing timeout or synchronization failure records.
- Enter the application configuration page, confirm that the target knowledge base is bound and the "Call model reasoning when no matching content is found" switch is enabled, and verify whether generalized reasoning is triggered when retrieval does not hit any content.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.